Understanding Technical Debt: Causes, Impacts, and Mitigation Strategies

Technical debt refers to the hidden cost of shortcuts or incomplete work in software development that accumulates over time. While it cannot be completely eliminated, its scale can be controlled through proper management.

1. Basic Understanding

Technical debt is not only a code‑level issue; it also includes debts arising from business, team, and knowledge management. The article emphasizes that debt is inevitable as long as a product is in operation, and the goal is to keep it within a manageable range.

2. Typical Causes

External factors:

Technology evolution – legacy tech becomes outdated compared with industry standards.

Business growth – new requirements outpace the existing stack, reducing efficiency.

Team changes – organizational restructuring leaves behind “old” services that become hard to maintain.

Internal factors:

Team management – short‑term focus, inadequate talent development, and a culture that favors quick delivery over long‑term quality.

Weak foundations – lack of unified libraries, frameworks, middleware, and build pipelines.

Missing standards – inconsistent coding style, configuration, logging, testing, and error handling.

3. Mitigation Methodology

The article proposes a professional‑first mindset:

Background & Problem Analysis : Apply MECE principles to dissect problems before jumping to solutions.

Domain Clarification : Identify knowledge gaps and fill them to avoid “amateur” approaches.

Industry Solutions : Benchmark against proven solutions (e.g., using gtest for unit testing).

Own Design : Combine first‑principles thinking with multi‑value perspectives to create scalable, extensible, and maintainable designs.

Planning & Execution : Break work into iterative phases, allocate resources, and consider organizational adjustments.

Measurement & Review : Use data‑driven metrics to evaluate effectiveness and conduct retrospectives.

Additional professional habits include goal orientation, divide‑and‑conquer, standardization, templating, tooling (git, code scanning, CI pipelines), algorithmic/systemic thinking, iterative development, gray‑scale rollout, research, ROI analysis, and zero‑based thinking.

4. Case Study – "Happy Dou Dizhu" Project

The author shares concrete examples from a long‑running game project:

Three different C++ backend frameworks coexist, and the base library is not unified.

Absence of standard conventions leads to inconsistent build processes, code style, logging, testing, and error handling.

New technologies were introduced without retiring old ones, resulting in a fragmented stack.

Legacy code was repeatedly wrapped instead of being refactored, increasing maintenance difficulty.

Insights from the case study:

Maintain a professional, top‑down view of technical affairs and encourage debt‑clearing behavior.

Establish a technical center or shared team to own the core stack and enforce quality standards.

Allocate dedicated resources for technical debt alongside feature work, and use retrospectives to justify investment.

Adopt open‑source stacks when possible to stay aligned with industry evolution.

5. Final Thoughts

Technical debt is a chronic issue that can degrade team morale, talent retention, and business growth if left unchecked. Controlling it requires steadfast values, continuous professional practice, appropriate resource commitment, and adaptability to specific contexts. The article concludes by urging teams to embed these principles into their daily workflow and invites readers to share their own experiences.